In Figure REF , we show some visualized results compared with OSVOS [1]} and PML [2]}. For the breakdance, scooter-black and dance-jump sequences, which contain fast moving and abrupt rotation, OSVOS [1]} performs worse than PML [2]}. And for the dog sequence, PML [2]} can not achieve a satisfied result due to the dramatic change of the light conditions. However, on both of these two scenarios, the proposed method performs better than both of OSVOS and PML, which is benefit from robust adaptation ability of our network.
